15 repos
Python libraries and machine learning frameworks for predicting temporal sequences using deep learning models. This cluster covers end-to-end time series analysis—from foundational forecasting architectures (neural networks, attention mechanisms, probabilistic methods) to applied forecasting systems and datasets. Repositories include general-purpose forecasting libraries like DARTS, specialized probabilistic models for clinical predictions, and research implementations exploring neural architectures for sequential data.